Lead enterprise data strategy and architecture for scalable, secure, AI-ready lakehouse/data platforms. Define governance, quality, observability, metadata/lineage, and data security. Enable AI/ML and GenAI use cases, advise senior stakeholders, and mentor teams.
About the job
A ‘Better Together’ philosophy towards building a better world
Aligned Automation is a strategic service provider that partners with Fortune 500 leaders to
digitize enterprise operations and enable business strategies. We believe we can create
positive, lasting change in the way our clients work while advancing the global impact of
their business solutions for a more optimistic and better world. We are passionate about
building and sustaining an inclusive and equitable workplace where all people can develop
and thrive. Enriched by our “4C’s” – Care, Courage, Curiosity, and Collaboration – our
culture supports solutions that empower the possible.
Years of Experience: 15 to 18 years
Position: Principal / Enterprise Data Architect
Role Overview
We are looking for a senior Data Architect to define and lead
enterprise data strategy across data engineering, data quality, governance,
security, and AI enablement. This role will shape scalable, secure, and
AI-ready data platforms that power analytics and business decision-making.
Key Responsibilities
- Define enterprise data architecture and roadmap aligned
to analytics and AI goals
- Design scalable lakehouse / data platform
architectures (batch & streaming)
- Establish data quality, observability, and
reliability frameworks
- Lead data governance, metadata, lineage, and
ownership models
- Architect data security and privacy (access
control, encryption, compliance)
- Enable AI/ML & GenAI use cases with
high-quality, governed data foundations
- Act as architectural advisor to senior stakeholders and
mentor teams
Required Experience & Skills
- 15–18 years in data architecture, data engineering,
and analytics platforms
- Strong experience with cloud data platforms (AWS
/ Azure / GCP)
- Deep understanding of data engineering, governance,
quality, and security
- Experience enabling AI/ML-ready data architectures
- Strong stakeholder communication and leadership skills
Nice to Have
- Enterprise or digital transformation experience
- Data Mesh / Lakehouse exposure
- AI / GenAI data patterns experience
- Cloud or data architecture certifications
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